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Recent studies by Zampaloni et al. and Pahil et al. published in the journal Nature describe a novel method of inhibiting the growth of Gram-negative bacteria such as Acinetobacter using antibiotics consisting of macrocyclic peptides that target the bacterial protein bridge machinery that transports lipopolysaccharides from the cytoplasm to the outer membrane.

The amphipathic lipopolysaccharides in the outer leaflet of the asymmetric outer membrane bilayer of Gram-negative bacteria block antibiotic entry, making the treatment of bacterial infections involving Gram-negative bacteria difficult. Furthermore, the development of antibiotic resistance in bacteria, especially Gram-negative bacteria such as Acinetobacter baumannii, is a rapidly increasing global health concern since antibiotic-resistant bacterial infections are becoming increasingly common among hospitalized and critically ill patients.

The lipopolysaccharide is synthesized inside the bacterial cell in the inner membrane, transported across the cell membrane, and assembled in the outer leaflet. The transportation of lipopolysaccharides occurs with the help of LptB2FGC, a subcomplex in the inner membrane that enlists adenosine triphosphate (ATP) hydrolysis and a protein bridge to extract lipopolysaccharides from the inner membrane and transport it to the outer membrane. Targeting this transportation complex could effectively inhibit the lipopolysaccharide biosynthesis, making the Gram-negative bacteria susceptible to antibacterial activity.

Scientists say they have developed a new type of antibiotic to treat bacteria that is resistant to most current antibiotics and kills a large percentage of people with an invasive infection.

The bacteria, Acinetobacter baumannii, can cause serious infections in the lungs, urinary tract and blood, according to the US Centers for Disease Control and Prevention. It’s resistant to a class of broad-spectrum antibiotics called carbapenems.

Carbapenem-resistant Acinetobacter baumannii, also known as CRAB, was at the top of the World Health Organization’s list of antibiotic-resistant “priority pathogens” in 2017. In the United States, the bacteria caused an estimated 8,500 infections in hospitalized patients and 700 deaths that year, according to the most recent data from the CDC.

Another advantage of fragmentomics is that it requires much less blood than other liquid biopsy tests, she added.

The fragmentomics approach is also appealing because it requires only a blood draw, Dr. Greten noted, which is typically faster, easier to get, and less expensive than an ultrasound.

Fragmentomics is a next-generation liquid biopsy approach, said Dr. Velculescu. And it can potentially be used to detect other kinds of cancer, in addition to those the team has already studied, he added.

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A research team from UNIST has made a discovery that might revolutionize cancer treatment as we know it-new cell-engaging nano-drones that were designed to target and eliminate cancer cells selectively.

These tiny bots are called NK cell-engaging nano-drones (NKeNDs), and their success lies in their ability to engage natural killer (NK) cells, the body’s frontline defenders against cancer. Using NK cells in cancer treatment is not new, but what sets these nanodrones apart is their precision. They are engineered to zero in on cancer cells almost like guided missiles.

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Study explores the potential of EZH2 inhibitors GSK126 and Tazemetostat in stimulating β-cell regeneration from pancreatic ductal progenitor cells, offering a novel therapeutic approach for Type 1 Diabetes.

He further mentioned that the AI tool functioned like an “extra pair of eyes,” identifying potential tumors within the video footage.

In short, the AI tool assists junior doctors during colonoscopies by analyzing video footage from the endoscope and identifying potential tumors. It aids in detecting adenomas, particularly those smaller than five millimeters (mm) in diameter.

Scientists have fused brain-like tissue with electronics to make an ‘organoid neural network’ that can recognise voices and solve a complex mathematical problem. Their invention extends neuromorphic computing – the practice of modelling computers after the human brain – to a new level by directly including brain tissue in a computer.

The system was developed by a team of researchers from Indiana University, Bloomington; the University of Cincinnati and Cincinnati Children’s Hospital Medical Centre, Cincinnati; and the University of Florida, Gainesville. Their findings were published on December 11.